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Guide

RPA, explained in plain English

What RPA means, how software bots do the work, where they break and how RPA compares with APIs and AI. Written for readers who just want to understand it.

Updated 7 min read

The short answer

RPA, short for robotic process automation, is software that copies the actions a person takes on a computer, such as typing, clicking and moving data between systems. It follows fixed rules, which makes it fast for repetitive work and fragile when screens or inputs change.

Key points

  • RPA bots copy human actions on the screen
  • It works best on high-volume, rules-based tasks
  • It breaks when screens, systems or inputs change
  • Maintenance often costs more than the first build
  • AI can add reading and judgment on top of RPA

Side by side

RPA compared with AI

Both automate work, in different ways.

CriterionRPAAI automation
How it worksFollows fixed rules and copied stepsReads, writes and decides from examples
Best inputStructured, predictable dataEmails, documents and free text
When things changeOften breaks until someone fixes itHandles more variation, still needs checks
Typical taskCopy data between systemsRead an invoice, draft a reply

What RPA means

The RPA meaning is simple. A software bot does work that a person used to do at a keyboard.

The U.S. General Services Administration's federal RPA community describes it as low- to no-code technology that automates repetitive, rules-based tasks, and says all RPA technologies copy human actions.

The word robotic is misleading. There is no physical robot. The bot is a program that uses the same screens you do.

How the RPA process works

An RPA process follows the steps a person would follow. It logs in, reads data from one place, applies rules and enters the result somewhere else.

Researchers at the London School of Economics describe the typical job as moving data from sources like email and spreadsheets into systems of record, such as ERP and CRM systems.

A bot works through the user interface, so it can often work with software that offers no other way in.

  • A trigger starts the run: a schedule, a new file or a new email
  • The bot opens the applications and reads the inputs
  • Business rules decide what happens next
  • The bot enters the result in the target system
  • Anything unusual goes to a person as an exception

Attended and unattended bots

Attended bots run on an employee's desktop and help with a task while that person works. The person starts them and can step in.

Unattended bots run on their own, on a schedule or a trigger, usually on a server. Nobody watches each run.

IEEE's RPA standard stresses human exception management: even a bot that runs alone needs a person for the cases it cannot handle.

What RPA does well

RPA fits work that is frequent, structured and rule-based. A systematic literature review found that repetitiveness, meaning a high volume of transactions, is the criterion mentioned most often when choosing processes.

The federal RPA community lists popular uses, including data entry, data reconciliation, spreadsheet manipulation, systems integration and automated data reporting.

That also covers invoice entry, periodic reporting and data migration between systems.

  • Data entry from emails, forms and spreadsheets
  • Reconciling records between two systems
  • Building recurring reports from several sources
  • Copying data between tools that do not connect
  • Sending scheduled messages and prefilled replies

Where RPA breaks

RPA depends on the screens it works with. A literature review summarizing earlier studies notes that RPA presumes existing infrastructure and depends on the stability, availability and performance of those systems.

It also reports that RPA cannot adapt to a changing environment.

When a button moves or a layout changes, the bot can stop or enter wrong data.

The same review notes that implementation is characterized by low costs, while maintenance can be costly and tedious. Plan for upkeep, not only for the build.

RPA vs APIs, AI and intelligent automation

An API connects two systems directly. It is usually more stable than copying screens, but it needs both systems to offer one. RPA fills the gap when they do not.

Researchers describe RPA as an outside-in approach: it uses existing information systems without changing them.

RPA and AI do different jobs. RPA follows rules. AI reads documents, writes replies and handles messy input. Intelligent automation combines the two.

In the federal survey, 32% of RPA programs had added AI features such as machine learning, image recognition or natural language processing.

How to choose processes for RPA

Good candidates share a few traits. A study of Telefonica O2 found RPA fit best with high-volume, low-complexity work, and that beyond a certain band there was little business value.

Rank candidates by hours per week times hourly cost, then check that the steps are stable.

  • High volume, so the savings add up
  • Clear rules with few exceptions
  • Structured inputs that look the same each time
  • Stable systems whose screens rarely change
  • An owner who can describe every step

How widely RPA is used

The 2021 federal RPA report found 1,001 automations in production across federal programs, 2.5 times the number from the year before. Its authors count 1,499,105 cumulative hours of capacity created from current and potential automations.

A year earlier, the same community reported a 110 percent increase in automations deployed. RPA is now a routine tool for office work, and public agencies are heavy users.

FAQ

RPA questions

  • RPA is software that copies the steps a person takes on a computer, like typing, clicking and moving data between systems. It follows fixed rules and works best on repetitive, structured tasks.
  • RPA stands for robotic process automation. The robot is software, not a machine. People also write it as RPA bots or software robots when they mean the programs doing the work.
  • A bot reads invoices from an inbox, copies the details into the accounting system and flags any that do not match. Other examples are periodic reporting and moving records during a data migration.
  • RPA follows predefined rules and copied steps. AI reads documents, writes text and handles messy input. Many teams use both: AI to understand the input, RPA to enter the result.
  • Not exactly. RPA is one tool. Intelligent automation combines RPA with AI features such as document reading or language understanding, so more of the process can run without a person.
  • Bots depend on the screens and systems they use. When a layout, field or login changes, the bot may stop or enter wrong data. Maintenance is the part teams most often underestimate.
  • RPA replaces repetitive tasks, not whole jobs. People still handle exceptions and decisions that need judgment, and IEEE's RPA definition builds in human exception management.
  • Yes. We map your repetitive processes, rank them by payback and build automation on the tools you already use, with rules where they are enough and AI where needed. The free AI diagnosis is a 30-minute call.

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